Location parc bébé à 92000 Nanterre

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='equipement-pour-bebe'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92000' AND ville_nom like '%nanterre%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%parc%bebe%' OR ssrubr_title like '%parc%bebe%' OR ssrubr_slug like '%parc%bebe%') AND cate_id='228' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='92000'

7. 0.0022

   SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9263897328734 AND ville_longitude_deg<2.4736102671266 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='parc bébé'

9. 0.0005

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+parc bébé*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92000%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=228

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='parc bébé' OR ssrubr_slug='parc-bébé' OR (ssrubr_title like '%parc bébé%')) AND cate_id='228' ORDER BY ssrubr_id LIMIT 0,1

12. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

13. 0.0001

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

14. 0.0002

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (228) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='parc-bebe' AND cate_id='228'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92000'

17. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9263897328734 AND ville_longitude_deg<2.4736102671266 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0053

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5159684337256 AND ville_longitude_deg<2.8840315662744 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0284

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='228' AND MATCH (wish_desc) AGAINST ('(+parc +bébé*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92000,92000,92500,78800,78420,92250,92400,95870,92700,78400,78360,92150,92800,92270,92200,78500,78110,92300,78380,78290,78560,92600,92380,92210,95100,78600,78170,78600,78430,92110,78230,95530,92420,92430,92230,95110,92100,92410,78100,78750,92310,95240,78160,95370,95130,95218,95210,78150,93800,93400,78112,78150,78870,92170,93450,92390,78620,95120,92130,92190,92360,92370,78140,78590,95880,78220,95220,95130,75006,75116,75005,75020,75013,75012,75014,75011,75015,75009,75016,75017,75008,75018,75019,75004,75003,75002,75007,75010,75001,75000,78300,95230,78700,92240,78000,92140,93210,93200,78240,93430,78260,92120,95600,92320,95250,95480,95360,78590,95580,95580,92220,78955,78240,78570,95170,94250,95320,93120,93300,92350,95390,93380,95680,92330,92260,95410,78330,93240,78860,93500,93310,78780,95160,78210,94110,95150,95550,95610,78350,78570,94270,78450,78530,92290,78350,78670,78670,78630,95000,94237,94236,94235,94233,94231,94230,94240,94238,94234,94239,94232,93350,93170,94205,94200,92340,95350,94800,91570,95740,93440,78450,95350,95840,93230,93260,78510,95560,91370,95400,95200,78390,78810,93100,95140,78540,94160,95330,95000,78280,95310,78117,95280,94300,95570,95300,92160,93000,95400,78480,94220,78340,94550,91430,95540,91430,95500,93700,93150,95440,95840,95430,91400,94260,95490,95460,78180,95570,94140,93140,91300,95000,94400,78190,78121,93130,78630,78810,95560,95300,78117,95570,94150,78960,94320)

20. 0.0254

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='228' AND MATCH (wish_desc) AGAINST ('(+parc +bébé*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92000,92000,92500,78800,78420,92250,92400,95870,92700,78400,78360,92150,92800,92270,92200,78500,78110,92300,78380,78290,78560,92600,92380,92210,95100,78600,78170,78600,78430,92110,78230,95530,92420,92430,92230,95110,92100,92410,78100,78750,92310,95240,78160,95370,95130,95218,95210,78150,93800,93400,78112,78150,78870,92170,93450,92390,78620,95120,92130,92190,92360,92370,78140,78590,95880,78220,95220,95130,75006,75116,75005,75020,75013,75012,75014,75011,75015,75009,75016,75017,75008,75018,75019,75004,75003,75002,75007,75010,75001,75000,78300,95230,78700,92240,78000,92140,93210,93200,78240,93430,78260,92120,95600,92320,95250,95480,95360,78590,95580,95580,92220,78955,78240,78570,95170,94250,95320,93120,93300,92350,95390,93380,95680,92330,92260,95410,78330,93240,78860,93500,93310,78780,95160,78210,94110,95150,95550,95610,78350,78570,94270,78450,78530,92290,78350,78670,78670,78630,95000,94237,94236,94235,94233,94231,94230,94240,94238,94234,94239,94232,93350,93170,94205,94200,92340,95350,94800,91570,95740,93440,78450,95350,95840,93230,93260,78510,95560,91370,95400,95200,78390,78810,93100,95140,78540,94160,95330,95000,78280,95310,78117,95280,94300,95570,95300,92160,93000,95400,78480,94220,78340,94550,91430,95540,91430,95500,93700,93150,95440,95840,95430,91400,94260,95490,95460,78180,95570,94140,93140,91300,95000,94400,78190,78121,93130,78630,78810,95560,95300,78117,95570,94150,78960,94320) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92000'

22. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9263897328734 AND ville_longitude_deg<2.4736102671266 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5159684337256 AND ville_longitude_deg<2.8840315662744 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 115848 AND W.type_id = 1) OR (W.util_id != 115848 AND W.type_id = 2)) AND (`post_util_id` = 115848 OR `dest_util_id` = 115848) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=115848 AND note_visu IN (1,3,4)

26. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 203646 AND W.type_id = 1) OR (W.util_id != 203646 AND W.type_id = 2)) AND (`post_util_id` = 203646 OR `dest_util_id` = 203646) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=203646 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 247993 AND W.type_id = 1) OR (W.util_id != 247993 AND W.type_id = 2)) AND (`post_util_id` = 247993 OR `dest_util_id` = 247993) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=247993 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 382508 AND W.type_id = 1) OR (W.util_id != 382508 AND W.type_id = 2)) AND (`post_util_id` = 382508 OR `dest_util_id` = 382508) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=382508 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 427318 AND W.type_id = 1) OR (W.util_id != 427318 AND W.type_id = 2)) AND (`post_util_id` = 427318 OR `dest_util_id` = 427318) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=427318 AND note_visu IN (1,3,4)

34. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='808' LIMIT 0,1

35. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 203646

36. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='808' LIMIT 0,1

37. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 115848 AND W.type_id = 1) OR (W.util_id != 115848 AND W.type_id = 2)) AND (`post_util_id` = 115848 OR `dest_util_id` = 115848) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

38. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 115848

39. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='808' LIMIT 0,1

40. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 427318

41. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='808' LIMIT 0,1

42. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 247993

43. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='808' LIMIT 0,1

44. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 382508 AND W.type_id = 1) OR (W.util_id != 382508 AND W.type_id = 2)) AND (`post_util_id` = 382508 OR `dest_util_id` = 382508) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

45. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 382508

46. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=228 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

47. 0.0001

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='parc bébé' OR ssrubr_slug like '%parc bébé%' OR MATCH (ssrubr_slug) AGAINST ('(+parc +bébé)')) AND sk.ssrubr_id='808' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='808' AND actu_niveau=0 ORDER BY actu_ordre DESC

49. 0.0008

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

50. 0

    SELECT count(*) as nbwish FROM wish

51. 0.0469

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

51 requetes sql en 0.123